scholarly journals Theoretical Grounding for Computer Assisted Scholarly Text Reading (CASTR)

2012 ◽  
Vol 3 (2) ◽  
Author(s):  
Jean-Guy Meunier
Keyword(s):  
Text Analysis ◽  
Digital Humanities ◽  
World Wide ◽  
Computer Assisted ◽  
Cognitive Dimension ◽  
Google Books ◽  
Text Reading ◽  
Psychological Activity ◽  
Computerized Environment

Digital humanities technology has mainly focused its development on scholarly text digitalization and text analysis. It is only recently that attention has been paid to the activity of reading in a computerized environment. Some main causes of this have been the advent of the e-book but more importantly the massive enterprise of text digitalization (such as Gallica, Google Books, World Wide library, and others). In this article, we analyze, in a very exploratory manner, three main dimensions of computer assister scholarly reading of text: the cognitive, the computational and the software dimension. The cognitive dimension of scholarly reading pertains not the nature of reading as a psychological activity but to the complex interpretative act of going through argumentations, narrations, descriptions, demonstrations, dialogues, themes, etc. that are contained in a text.

Tactweb: The Intersection of Text-Analysis and Hypertext

1997 ◽  
Vol 17 (3) ◽  
pp. 217-230
Author(s):  
Geoffrey Rockwell ◽  
Graham Passmore ◽  
John Bradley
Keyword(s):  
World Wide Web ◽  
Text Analysis ◽  
World Wide ◽  
Computer Assisted ◽  
Electronic Literature ◽  
Web Based ◽  
Students First ◽  
Student Questionnaire ◽  
Humanities Students ◽  
Analysis Environment

While hypertext systems are changing the way we communicate, many computing humanists have concentrated on how computers can help with the study of traditional texts. The TACTweb workbook was designed to teach humanities students to use computer-assisted text-analysis tools in a hypertext environment thus bridging the study of electronic editions of classics and the study of new forms of text. TACTweb is a World Wide Web based text-analysis environment that represents the results of text queries as hypertexts. The TACTweb workbook is a hypertext tutorial that introduces students first to both the hypertextual capabilities of electronic literature and to the analysis of electronic editions of traditional texts. The TACTweb workbook has been remodeled using feedback from a student questionnaire in order to improve the interface.

Analyzing Language in Suicide Notes and Legacy Tokens

Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin
Keyword(s):  
Text Analysis ◽  
Low Cost ◽  
Computer Software ◽  
Student Writing ◽  
Computer Assisted ◽  
Automated Identification ◽  
Completed Suicide ◽  
Suicide Notes ◽  
Self Harm ◽  
Harm To Others

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.

COMPUTER-ASSISTED TEXT-ANALYSIS FOR ESL STUDENTS

2013 ◽  
Vol 1 (3) ◽  
pp. 40-43 ◽  
Author(s):  
Joy Reid ◽  
Peggy Lindstrom, ◽  
Maggie McCaffrey ◽  
Doug Larson
Keyword(s):  
Text Analysis ◽  
Computer Assisted ◽  
Esl Students

scholarly journals Chinese views on nuclear weapons: Evidence from an online survey

2021 ◽  
Vol 8 (3) ◽  
pp. 205316802110328
Author(s):  
Naomi Egel ◽  
R. Lincoln Hines
Keyword(s):  
Nuclear Weapons ◽  
Text Analysis ◽  
Online Survey ◽  
Public Attitudes ◽  
Age Groups ◽  
Computer Assisted ◽  
The Public ◽  
Self Defense ◽  
Public Views ◽  
Chinese Public

What are Chinese public attitudes regarding nuclear weapons? Although scholars have studied Chinese elites’ views on nuclear weapons, surprisingly little is known about the views of China’s public. To understand Chinese public views on nuclear weapons, we conduct an online survey ( N = 1066) of Chinese respondents. This is, to our knowledge, the first survey of Chinese public attitudes towards nuclear weapons. We find that although Chinese citizens view the possession of nuclear weapons as important for their country’s security, they strongly oppose the use of nuclear weapons under any circumstances. We also provide respondents an opportunity to describe their views on nuclear weapons in their own words. Using computer-assisted text analysis, we assess patterns in these open-ended responses and compare across age groups. We find that younger respondents emphasize non-material factors such as having a greater voice internationally, whereas older respondents emphasize self-defense. Overall, this analysis sheds light on the public attitudes that may shape China’s evolving approach to nuclear weapons.

Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

2020 ◽  
pp. 1329878X2094712
Author(s):  
Monika Bednarek ◽  
Georgia Carr
Keyword(s):  
Computational Methods ◽  
Text Analysis ◽  
Corpus Linguistics ◽  
Linguistic Analysis ◽  
Computer Assisted ◽  
Technical Expertise ◽  
Digital Text ◽  
Health News ◽  
Corpus Linguistic ◽  
Digital Methods

Digital methods are becoming more and more important for text analysis in communications research. However, many computational methods require either relevant technical expertise or multi-disciplinary collaboration, which has impeded their uptake. This article introduces an alternative: computer-assisted linguistic analysis (corpus linguistics), an approach that is increasingly being used outside linguistics and requires less expertise. The article uses a dataset of almost 700 items of health news to demonstrate how such techniques can aid the analysis of (dis)preferred language, sources, stigma and responsibility, framing, and project-specific text analysis. We conclude with an evaluation of the key advantages and limitations of corpus linguistic analysis.

On Constructing a Transfer Dictionary for Man and Machine

Target ◽  
1992 ◽  
Vol 4 (1) ◽  
pp. 17-31 ◽  
Author(s):  
John Laffling
Keyword(s):  
Text Analysis ◽  
Computer Assisted ◽  
Knowledge Sources ◽  
Parallel Text

Abstract This article argues that, unlike conventional bilingual knowledge sources that are underpinned by the principle of filtering out a limited number of representative equivalents, transfer dictionaries that are derived from computer-assisted parallel text analysis can bring both the human and the mechanized translator a stage nearer the elusive ideal of text-insertable translation equivalents.

scholarly journals COMPUTERIZED QUALITATIVE TEXT ANALYSIS

2021 ◽  
pp. 220-240
Author(s):  
Anna G. Danilova ◽  
Olga V. Mitina
Keyword(s):  
Discourse Analysis ◽  
Data Analysis ◽  
Narrative Analysis ◽  
Text Analysis ◽  
Qualitative Data ◽  
The Internet ◽  
Computer Assisted ◽  
Applied Psychology ◽  
Software Packages ◽  
Methodological Problems

Relevance. In applied psychology, researchers are increasingly faced with the task of analyzing large amounts of text, both verbal and visual. For these purposes, various methods of analysis have been developed and various computer programs have been created. Objective. The possibilities of computerized qualitative text analysis are analyzed. The spectrum of problems solved by various methods of qualitative text analysis is considered. Methods. The theoretical analysis of classical methods of qualitative text analysis is carried out. The specificity of the method of computerized discourse analysis is analyzed. The Internet searched for the most popular programs for qualitative text analysis, considered the main options and requirements for working in the program. Results. Methods of content-, discourse-, intent-analysis, conversion and narrative analysis are briefly characterized. The computerized discourse analysis (CMDA) approach is described. An approach to solving problems of various methods of qualitative analysis of text in computer analysis of qualitative data (Computer Assisted Qualitative Data Analysis; CAQDAS) is presented. The possibilities of some software packages developed within the CAQDAS approach are considered. Conclusions. The advantages of using computerized discourse analysis are shown. The topic of research of methodological problems accompanying the use of CAQDAS is outlined.

scholarly journals Developing the Read/Write Library

2016 ◽  
Vol 7 (2/3) ◽  
Author(s):  
Lisa Goddard
Keyword(s):  
Asset Management ◽  
Text Analysis ◽  
Digital Humanities ◽  
Identity Management ◽  
Great Promise ◽  
Metadata Management ◽  
Digital Asset ◽  
Further Development ◽  
Long Term Preservation

Background: This article considers the use of Fedora-based library digital asset management systems (DAMS) as digital humanities (DH) research platforms.Analysis: The features of DAMS are evaluated to identify the ways in which they can currently meet researcher needs, and to suggest areas where further development is necessary.Conclusion and implications: Fedora-based DAMS hold great promise as the basis of digital humanities research platforms. Mature functionality is available for identity management, file and metadata management, versioning, publishing, social media sharing, discovery, interoperability, and long-term preservation. Further development is necessary in order to incorporate annotation, mark-up, and text analysis tools.

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